Laura Mansfield

437 total citations
7 papers, 124 citations indexed

About

Laura Mansfield is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Laura Mansfield has authored 7 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 2 papers in Astronomy and Astrophysics. Recurrent topics in Laura Mansfield's work include Climate variability and models (4 papers), Atmospheric Ozone and Climate (3 papers) and Meteorological Phenomena and Simulations (3 papers). Laura Mansfield is often cited by papers focused on Climate variability and models (4 papers), Atmospheric Ozone and Climate (3 papers) and Meteorological Phenomena and Simulations (3 papers). Laura Mansfield collaborates with scholars based in United States, Greece and United Kingdom. Laura Mansfield's co-authors include Apostolos Voulgarakis, Matthew Kasoar, Peer Nowack, W. J. Collins, Richard G. Everitt, Aditi Sheshadri, Cheng Yuan, Tijian Wang, Yawei Qu and Brian Green and has published in prestigious journals such as Atmospheric chemistry and physics, Journal of Advances in Modeling Earth Systems and npj Climate and Atmospheric Science.

In The Last Decade

Laura Mansfield

6 papers receiving 121 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laura Mansfield United States	5	75	68	29	22	17	7	124
Trismono Candra Krisna Germany	6	87 1.2×	74 1.1×	15 0.5×	48 2.2×	4 0.2×	15	133
Yang Lyu China	7	96 1.3×	76 1.1×	30 1.0×	8 0.4×	5 0.3×	22	129
Liliana Núñez Argentina	5	105 1.4×	113 1.7×	15 0.5×	15 0.7×	88 5.2×	5	217
Elián Wolfram Argentina	10	200 2.7×	174 2.6×	20 0.7×	9 0.4×	18 1.1×	55	279
Tae‐Young Goo South Korea	7	127 1.7×	146 2.1×	15 0.5×	14 0.6×	9 0.5×	25	178
Quentin Rodier France	5	87 1.2×	78 1.1×	49 1.7×	5 0.2×	11 0.6×	9	127
Luiz Flávio Rodrigues Brazil	6	180 2.4×	184 2.7×	29 1.0×	56 2.5×	13 0.8×	7	276
Lucky Ntsangwane South Africa	4	84 1.1×	95 1.4×	16 0.6×	21 1.0×	16 0.9×	7	120
Michał Posyniak Poland	10	194 2.6×	194 2.9×	24 0.8×	46 2.1×	9 0.5×	23	243
Richard Graham United Kingdom	7	87 1.2×	117 1.7×	7 0.2×	8 0.4×	24 1.4×	8	167

Countries citing papers authored by Laura Mansfield

Since Specialization

Citations

This map shows the geographic impact of Laura Mansfield's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Mansfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Mansfield more than expected).

Fields of papers citing papers by Laura Mansfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Mansfield. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Mansfield. The network helps show where Laura Mansfield may publish in the future.

Co-authorship network of co-authors of Laura Mansfield

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Mansfield. A scholar is included among the top collaborators of Laura Mansfield based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Mansfield. Laura Mansfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Garbuno-Iñigo, Alfredo, et al.. (2024). CalibrateEmulateSample.jl: Accelerated ParametricUncertainty Quantification. The Journal of Open Source Software. 9(97). 6372–6372. 3 indexed citations

2.

Mansfield, Laura, et al.. (2024). Bayesian History Matching Applied to the Calibration of a Gravity Wave Parameterization. Journal of Advances in Modeling Earth Systems. 16(4).

3.

Mansfield, Laura & Aditi Sheshadri. (2024). Uncertainty Quantification of a Machine Learning Subgrid‐Scale Parameterization for Atmospheric Gravity Waves. Journal of Advances in Modeling Earth Systems. 16(7). 5 indexed citations

4.

Mansfield, Laura, et al.. (2023). Updates on Model Hierarchies for Understanding and Simulating the Climate System: A Focus on Data‐Informed Methods and Climate Change Impacts. Journal of Advances in Modeling Earth Systems. 15(10). 11 indexed citations

5.

Mansfield, Laura & Aditi Sheshadri. (2022). Calibration and Uncertainty Quantification of a Gravity Wave Parameterization: A Case Study of the Quasi‐Biennial Oscillation in an Intermediate Complexity Climate Model. Journal of Advances in Modeling Earth Systems. 14(11). 10 indexed citations

6.

Qu, Yawei, Apostolos Voulgarakis, Tijian Wang, et al.. (2021). A study of the effect of aerosols on surface ozone through meteorology feedbacks over China. Atmospheric chemistry and physics. 21(7). 5705–5718. 36 indexed citations

7.

Mansfield, Laura, Peer Nowack, Matthew Kasoar, et al.. (2020). Predicting global patterns of long-term climate change from short-term simulations using machine learning. npj Climate and Atmospheric Science. 3(1). 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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